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Bora aprender um pouco sobre dataclasses e sobre obsessão por primitivos? ------------------- O canal é mantido por uma iniciativa ...

What's the trick to using dataclasses in Python? Dataclasses simplify class creation with less boilerplate code. They ...

How can dataclasses automatically generate __init__? When you create a class, you usually write an __init__ method.

O canal é mantido por uma iniciativa de financiamento coletivo: https://apoia.se/livedepython Vamos entender como as ...

What's the advantage of dataclasses.asdict for object serialization? dataclasses.asdict automatically converts objects to ...

Why use field(init=False) in Python dataclasses? The init=False option allows you to skip certain attributes during initialization.

What's the best approach to validate data classes? Validation is key to ensuring data integrity in classes. But many ...

O canal é mantido por uma iniciativa de financiamento coletivo: https://apoia.se/livedepython Entendendo um pouco do que se ...

Why use dataclasses for cleaner class definitions? Dataclasses help reduce boilerplate code in your classes. But many ...

What's the Best Approach to Validate Data Classes in Python? Validating data classes is essential for clean code. But many ...

Why use dataclasses for clean Python code? dataclasses help you define clean, structured data models. They remove ...

Data Classes in Python: Why They're Great + Examples Using attrs and dataclasses - Tal Einat - PyCon Israel 2019 ...

Why use frozen dataclasses in Python? Frozen dataclasses are perfect for creating unchangeable data structures. They help ...

With dataclass, you can create simple classes quickly and easily. Special methods like __init__, __repr__, and __eq__, are ...

How do dataclasses handle mutable defaults? Mutable defaults in Python dataclasses are tricky. A mutable default (like a ...

Why use dataclasses.asdict for serialization? dataclasses.asdict simplifies turning objects into dictionaries. It converts nested ...

Lesson 05 - In this video, you will learn how to use data classes, which are a new and convenient feature of Python that simplifies ...

What's the Purpose of dataclasses.replace()? 🎛️ The purpose of dataclasses.replace() is to create a new instance with some ...

Data classes in Kotlin are used to create classes whose main purpose is to store data, providing us with very interesting ...

Available starting Python 3.7, the dataclasses (introduced in PEP 557) are finally here. Amazingly simple solution for data with ...